Examining the Role of Wearables in Inflammatory Arthritis Care: A Narrative Literature Review
Clinical Snapshot
PICO Framework
| P — Population | Adults with inflammatory arthritis (IA), specifically rheumatoid arthritis (RA), psoriatic arthritis (PsA), and axial spondyloarthritis (axSpA) |
| I — Intervention | Wearable accelerometers and wearable technology measuring physical activity (PA) and sleep metrics |
| C — Comparator | Standard clinical assessments of disease activity, patient-reported outcomes, and conventional monitoring approaches |
| O — Outcomes | Disease activity monitoring, PA quantification, sleep pattern assessment, early detection of disease flares, treatment response signals, and personalisation of therapeutic regimens |
Bottom Line
This narrative review from NYU Grossman School of Medicine synthesises the emerging evidence for wearable accelerometers as objective monitoring tools in rheumatoid arthritis, psoriatic arthritis, and axial spondyloarthritis. The core message — that PA and sleep metrics captured by wearables correlate with IA disease activity and may enable earlier detection of flares and treatment response — is clinically plausible and supported by a growing body of observational data. However, the narrative design without systematic search, formal risk of bias assessment, or quantitative synthesis means the review is best characterised as an expert opinion piece with illustrative evidence rather than a rigorous evidence synthesis. Clinicians should view the conclusions as hypothesis-generating. Wearables are not yet ready for routine clinical deployment in IA management: standardised protocols, validated clinical thresholds, EHR integration, and prospective intervention trials are all needed. For Australian rheumatologists, the review highlights a promising digital health frontier, but PBS reimbursement, TGA oversight, and equity of access remain unresolved. This paper is most useful for informing research priorities and stimulating discussion about future digital health integration in inflammatory arthritis care.
Key Findings
P Value: Not reported at the review level
Effect Size: Not pooled; individual study effect sizes are referenced qualitatively. No meta-analytic summary statistic is reported
Primary Outcome: Wearable accelerometers can objectively quantify reduced physical activity and disrupted sleep in patients with IA, and these metrics correlate with clinical measures of disease activity across RA, PsA, and axSpA
Nnt Or Sensitivity: Not applicable; no diagnostic accuracy or therapeutic NNT data are synthesised. The review is descriptive and exploratory in nature
Confidence Interval: Not reported at the review level
Clinical Application
Consumer-grade wearable accelerometers (e.g., Fitbit, Actigraph, Apple Watch) are widely available and relatively low-cost, making adoption feasible in principle. However, clinical integration requires validated data pipelines, clinician training, and clear protocols for acting on wearable-derived signals. Reimbursement pathways and EHR integration remain significant implementation barriers in most healthcare systems In Australia, wearable technology for IA monitoring is not currently supported by PBS reimbursement or formal TGA-cleared clinical decision support pathways. The RACGP and Australian Rheumatology Association (ARA) have not yet issued specific guidelines on wearable integration in IA management. However, the Australian Digital Health Agency's national digital health strategy and the growing telehealth infrastructure post-COVID-19 provide a supportive policy environment for future integration. Biologics and targeted synthetic DMARDs used in IA (e.g., TNF inhibitors, IL-17 inhibitors, JAK inhibitors) are PBS-listed, and wearable-derived flare detection could theoretically optimise treatment timing and reduce unnecessary dose escalation — a clinically and economically relevant consideration in the PBS context. Aboriginal and Torres Strait Islander populations with IA face additional barriers to wearable adoption including digital access inequity, which is not addressed in this review. Adults with established diagnoses of RA, PsA, or axSpA who are under active rheumatological care and have access to wearable technology. Findings are most directly applicable to patients in tertiary rheumatology settings with digital health infrastructure
Abstract
Rheumatoid arthritis, psoriatic arthritis, and axial spondyloarthritis are types of inflammatory arthritis (IA) characterized by joint pain and stiffness that, despite therapeutic advances, remain difficult to treat. Changes in physical activity (PA) and sleep patterns may provide insights into IA disease course and activity. Wearable accelerometers have been validated as reliable, objective measures of PA and have provided insight into IA disease activity and progression through both PA and sleep metrics. Further, the granular nature of accelerometry data may provide the opportunity to identify early signals of treatment response or disease flares, leading to more effective and personalized therapeutic regimens in patients with IA. In this review, we summarize the current state of wearable technology in IA and explore the potential of wearables to bridge gaps in care.
References
- 1.Hariharan, S., Chen, K., Kulkarni, A., Scher, J. U., Haberman, R. H., & Barua, S. (2026). Examining the role of wearables in inflammatory arthritis care: A narrative literature review. RMD Open. https://doi.org/10.1136/rmdopen-2024-004699
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